Microsoft Fabric Exploration

Microsoft Fabric pitches itself to be a complete end-to-end analytics solution. I did a deep dive by using dummy data in my personal Azure & Fabric accounts and explored things like:

How data can be referenced in Fabric from Azure Data Lake Gen2 using Fabric Shortcut.
Pulling data from Azure Databricks using Fabric Dataflow Gen2 (ETL) and applying transformations.
Creating data engineering pipelines in Fabric using triggers and notebooks to output data to Fabric Warehouse, where it can be queried using SQL.
Creating separate Lakehouse for Data Science projects.
Visualizing predictions from DS project in Power BI.

I made the below chart to show what my Fabric exploration looked like. Click/hover over the icons to see what Fabric exploration looked like.

I found Microsoft Fabric to be user-friendly and suited for businesses new to data exploration. There are still some areas of improvement before it can be implemented for large scale companies with complex data problems.